University of Colorado – 2500MHz WiMAX RF Plan
Airspan RF Planning
January 2011
V1.1
WiMAX 16e – MacroMAXe RF Inputs
DTM / Clutter
Propagation Model
Frequency Band
RF Channels
Duplexing Method
Base Station Type
Base Station Tx Power
Base Station Sectorization
Base Station Tx Height
Base Station Antenna Type, Gain
Base Station Antenna Downtilt
Advanced Radio/Antenna Techniques
CPE Type 1, Tx Power, Ant Ht, Ant Type, Gain, Environment
5 Meter Resolution Heights and Clutter
CRC Predict 4.x deterministic; MODEL IS NOT CALIBRATED
2500 MHz
10 MHz Channel BW, 3 Channels
TDD
MacroMAXe 3.6GHz
40 dBm at antenna port; 43 dBm Combined Tx Power
Multi-sector using 90-deg external antenna
As specified in specs.
90-deg AW3008 2.5GHz T4, 17dBi
4-deg Electrical; 1 to 4-deg Mechanical
DL MIMO (2TX/2RX) and UL MRC (1TX/4RX)
MiMAX-Easy, 27dBm, 3m AGL, Omni-external, 3dBi, Mobile Outdoor - On Vehicle
Planning Tool
MP Planet 5.2
Site Count
Sector Count
3 BS
5 Sectors
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DTM Layer
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Clutter Layer
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Network Layout
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Frequency Plan
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Frequency and Preamble Plan
Site
Darley Twr
Engg
Engg
Gamow Twr
Gamow Twr
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Sector
1
1
2
1
2
Channel ID
WimaxTddBand_3
WimaxTddBand_2
WimaxTddBand_3
WimaxTddBand_1
WimaxTddBand_2
Preamble
73
77
74
75
76
Channel
No.
Channel ID
Center
Frequency
(MHz)
Bandwidth
(MHz)
1
WimaxTddBand_1
2508.500
10
2
WimaxTddBand_2
2518.500
10
3
WimaxTddBand_3
2528.500
10
Downlink Perm Base
0
2
1
3
4
Uplink Perm Base
2
0
1
4
3
7
BS and Sector Details
Site
Darley Twr
Engg
Engg
Gamow Twr
Gamow Twr
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Sector
1
1
2
1
2
Longitude
-105.2520861
-105.2633401
-105.2633401
-105.2678048
-105.267805
Latitude
Antenna Type
39.99828894 AW3008_90DEG_QUAD_Fixed_Tilt_2.5GHz
40.00728204 AW3008_90DEG_QUAD_Fixed_Tilt_2.5GHz
40.00728204 AW3008_90DEG_QUAD_Fixed_Tilt_2.5GHz
40.00815396 AW3008_90DEG_QUAD_Fixed_Tilt_2.5GHz
40.008154 AW3008_90DEG_QUAD_Fixed_Tilt_2.5GHz
Height (m)
47
44
44
42
42
Azimuth
350
120
240
90
250
Mechanical Tilt
4
2
2
1
2
8
Network Analysis Layers Description
• Best Server Signal Strength - This layer provides the downlink signal strength expressed in dBm for the best serving
sector and for the chosen subscriber equipment. The best server is determined from the best signal CNIR of the
preamble signal.
• Best Server - This layer provides the downlink coverage area for the sector with the best preamble signal CNIR.
• Downlink MCS - This layer provides information on the downlink modulation that has the highest spectral efficiency, i.e.,
the modulation that provides the highest useful bits per symbol ratio and where the coverage probability is above the
defined target cell edge coverage probability.
• Uplink MCS - This layer provides information about the best uplink modulation that offers the highest spectral
efficiency, i.e., the modulation that provides the highest useful bits per symbol ratio. This layer only uses a fraction of all
available sub-channels to illustrate uplink UL MCS coverage.
• Downlink C/(N+I) - This layer provides the downlink C/(N+I) value of the best channel where C is computed based on the
data or traffic power.
• Uplink C/(N+I) - This layer provides the uplink C/(N+I) value of the best channel where C is computed based on the data
or traffic power.
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NETWORK ANALYSIS PLOTS
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Best Server Signal Strength
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Best Serving Sector
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Downlink MCS
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Uplink MCS
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UL – 10 Subchannels
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Downlink C/(N+I)
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Uplink C/(N+I)
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UL – 10 Subchannels
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BS Sector Antenna
90-deg AW3008 2500MHz Fixed 4-deg Tilt
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RF Plan Notes: Propagation Modelling
• Propagation models simulate how radio waves travel through the environment from one point to another. Because of
the complex nature of propagation modelling and the great amount of information needed to perform an accurate
estimation of path loss, there will always be differences between the path loss estimation of a model and real-world
measurements. Nevertheless, some models are inherently more accurate than others in specific situations, and it is
always possible to refine a model (or its understanding of the environment) so that it better matches the real world.
There are several things that can be done in order to minimize discrepancies between the propagation model and the
real world, including choosing an appropriate model and calibrating it effectively.
• This study uses the CRC-Predict 4.x propagation model. CRC-Predict is the most widely used propagation model in the
suite of radio-wave prediction algorithms available in Mentum Planet. Originally developed by the Communications
Research Centre (Ottawa, Canada), CRC-Predict is now developed by Mentum. Some traditional approaches to radiowave propagation are empirical in nature and begin with the collection of real-world measurements, fitting them to
curves and then applying the curves to similar geographic areas. The limitation of these approaches is that they cannot
take into account the infinite variety of landscapes that can occur. In contrast, CRC-Predict is a deterministic model
based on Physical Optics, a form of wave theory. Predictions are based on a detailed simulation of diffraction over
terrain (including clutter), and include an estimate of local clutter attenuation. As a result, predictions of coverage gaps
and interference areas are based specifically on the particular terrain in question and are more likely to be accurate,
given that the terrain and clutter data are accurate.
• Drive-test measurements are still required for reliable planning, but their use is more a matter of compensating for the
incompleteness/inaccuracy of clutter data and adjustment of the model’s clutter property assignments to increase
accuracy. This is called model tuning.
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